Staff Data/Database Platform Engineer, Gemini

• You’ll bring expertise in database technologies (relational, columnar, document, key-value, and unstructured) and familiarity with core data infrastructure components like message queues, ETL pipelines, and real-time processing tools to support a resilient, high-performing data platform
• Deep expertise in data and storage technologies, including RDBMS (e.g., Postgres), NoSQL, and other database types (e.g., columnar, document, key-value, and unstructured), with a strong understanding of tradeoffs and use cases for each
• Demonstrated experience with advanced database scaling strategies for relational systems
• Strong knowledge of high-availability architectures and proficiency with monitoring tools to support uptime and incident response
• Experience with cloud-based database and data processing platforms, such as Amazon Aurora, Databricks, AWS RDS, Redshift, BigQuery, Snowflake, and managed services like AWS EMR and Google Cloud Dataflow
• Familiarity with message queues, ETL workflows, and data pipelines for real-time and batch processing
• Strong programming skills (e.g., Python, Bash, SQL) and experience with CI/CD practices
• Experience in an on-call rotation and handling incident response
• Excellent communication and collaboration skills, with a proven ability to work effectively with data and product engineering teams

• The Data Platform Engineering team plays a crucial role in building, scaling, and maintaining the data infrastructure, with a focus on reliability, availability, and performance
• Working closely with Engineering and Platform, Data Platform Engineering ensures a robust foundation for developing and scaling data-driven products and solutions
• This includes implementing advanced scaling strategies for database systems and maintaining core infrastructure components such as streaming, and real-time/batch processing tools
• These efforts support a resilient, high-performing platform that enables the organization to react to changing conditions with minimal downtime and maximum efficiency
• As a Staff Data Platform Engineer, you're a part of the Data/Database Platform Engineering Team and you’ll be instrumental in leading building, scaling, and maintaining our data infrastructure with a focus on architecture, reliability, availability, and performance
• This role will work closely with both data engineering and product engineering teams, providing a robust infrastructure foundation that enables them to build, maintain, and scale data-driven products and solutions
• An immediate priority will be implementing advanced scaling strategies for our relational database systems to support a highly scalable infrastructure
• This role also requires a strong commitment to uptime and incident response, including participation in an on-call rotation
• Database Scaling and Optimization: Design and implement scaling strategies for relational systems to ensure they meet the high availability and scalability needs of data and product engineering teams
• Availability and Uptime Management: Proactively monitor and optimize database systems to meet stringent uptime requirements. Participate in an on-call rotation to respond to incidents, troubleshoot issues, and restore service promptly during disruptions
• Architect and Optimize Database Infrastructure: Manage a variety of database technologies, balancing tradeoffs across relational, columnar, document, key-value, and unstructured data solutions, providing a foundation for data warehousing and supporting data-driven product needs
• Integration with Data Engineering and Product Pipelines: Collaborate with data and product engineering teams to implement and optimize data pipelines, including message queues (e.g., Kafka), ETL workflows, and real-time processing, ensuring efficient and reliable data movement
• Infrastructure Automation and Reliability: Utilize infrastructure as code (IaC) to automate deployment, scaling, and maintenance, creating a consistent, reliable environment that supports high availability and deployment efficiency for both data and product teams
• Performance Tuning and Incident Response: Conduct performance tuning, establish monitoring and alerting, and address potential issues quickly to ensure a responsive platform that meets the needs of all engineering workloads
• Documentation and Knowledge Sharing: Document processes, including scaling strategies, monitoring setups, and best practices, to support alignment with engineering requirements and ensure smooth handoffs in on-call situations

• Flexible vacation policy
• Retirement plan matching
• Generous parental leave
• Comprehensive health plans
• Training and development
• Health and wellness perks
• Community events

Total funding: $400m

Gemini is a cryptocurrency exchange platform that's known for offering excellent security as well as being available across the US, including in New York - a state not often covered by crypto exchanges.